Add 8 synchronized three-view uint16 NumPy training samples

README.md

@@ -14,7 +14,7 @@ pretty_name: Low-altitude RF world-model training episodes
 
 # Low-altitude RF world-model training data
 
-推荐下载 **compact_uint16** 完整 NumPy 训练包。当前清单含 **3937 条**（动态 UAV RF 实体 3308 条，历史辅助 629 条）。统计范围：`committed_on_huggingface`，正在增量上传，尚不是全量完成声明。
+推荐下载 **compact_uint16** 完整 NumPy 训练包。当前清单含 **3945 条**（动态 UAV RF 实体 3308 条，历史辅助 637 条）。统计范围：`committed_on_huggingface`，正在增量上传，尚不是全量完成声明。
 
 完整下载清单：[`compact_uint16/manifests/train.jsonl`](https://huggingface.co/datasets/DaftJun/RFWM/resolve/main/compact_uint16/manifests/train.jsonl)。每行含仓库内路径、字节数、SHA256、城市、物理场景组、版本及训练用途。每个 `.tar.gz` 是可独立读取的完整样本，包含：
 

compact_uint16/README.md

@@ -14,7 +14,7 @@ pretty_name: Low-altitude RF world-model training episodes
 
 # Low-altitude RF world-model training data
 
-推荐下载 **compact_uint16** 完整 NumPy 训练包。当前清单含 **3937 条**（动态 UAV RF 实体 3308 条，历史辅助 629 条）。统计范围：`committed_on_huggingface`，正在增量上传，尚不是全量完成声明。
+推荐下载 **compact_uint16** 完整 NumPy 训练包。当前清单含 **3945 条**（动态 UAV RF 实体 3308 条，历史辅助 637 条）。统计范围：`committed_on_huggingface`，正在增量上传，尚不是全量完成声明。
 
 完整下载清单：[`compact_uint16/manifests/train.jsonl`](https://huggingface.co/datasets/DaftJun/RFWM/resolve/main/compact_uint16/manifests/train.jsonl)。每行含仓库内路径、字节数、SHA256、城市、物理场景组、版本及训练用途。每个 `.tar.gz` 是可独立读取的完整样本，包含：
 

compact_uint16/data/legacy_aux/data_v3_gpuopt_p3/houston/houston_023_episode_002.tar.gz

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+version https://git-lfs.github.com/spec/v1
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+size 247164077

compact_uint16/data/legacy_aux/data_v3_gpuopt_p3/houston/houston_023_episode_003.tar.gz

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+size 245889022

compact_uint16/data/legacy_aux/data_v3_gpuopt_p3/houston/houston_023_episode_005.tar.gz

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+size 239143201

compact_uint16/data/legacy_aux/data_v3_gpuopt_p3/houston/houston_023_episode_006.tar.gz

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+oid sha256:c12c7020232b4ccd21da9c73842a007214e53f35c4ebe1a551c7af9ecd1c4a82
+size 251991422

compact_uint16/data/legacy_aux/data_v5/chicago/chicago_region_00012_bs_uav_episode_000.tar.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:bd78032bd78f21a636cedaf36fdbfb33c19340c2b40c38692df29c863bb4f3c3
+size 111117207

compact_uint16/data/legacy_aux/data_v5/chicago/chicago_region_00013_bs_uav_episode_000.tar.gz

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+size 173895286

compact_uint16/data/legacy_aux/data_v5/chicago/chicago_region_00014_bs_uav_episode_000.tar.gz

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+size 164473048

compact_uint16/data/legacy_aux/data_v5/chicago/chicago_region_00015_bs_uav_episode_000.tar.gz

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+size 130626136

compact_uint16/dataset_summary.json

@@ -1,17 +1,17 @@
 {
-  "updated_shanghai": "2026-11-01T04:44:17.087809+08:00",
+  "updated_shanghai": "2026-11-01T04:44:35.435682+08:00",
   "scope": "committed_on_huggingface",
   "repository": "DaftJun/RFWM",
-  "complete_samples": 3937,
+  "complete_samples": 3945,
   "dynamic_rf_samples": 3308,
-  "legacy_auxiliary_samples": 629,
+  "legacy_auxiliary_samples": 637,
   "counts_by_city": {
     "boston": 752,
-    "chicago": 1593,
-    "houston": 1592
+    "chicago": 1597,
+    "houston": 1596
   },
-  "unique_physical_groups": 3935,
-  "total_tar_bytes": 733371548023,
+  "unique_physical_groups": 3943,
+  "total_tar_bytes": 734935847422,
   "split": "train",
   "rf_encoding": "uint16 centi-dBm; decode to float32 dBm with step 0.01 and offset 32768; invalid code 0",
   "edition": "uint16",

compact_uint16/manifests/legacy_aux_train.jsonl

@@ -400,6 +400,10 @@
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